Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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3 steps toward setting and sustaining standards for medical AI

If AI for medical diagnostics is to lift the health status of populations—and thus fulfill its implicit global promise—it’s going to need stronger regulatory guidance than it’s gotten to date. 

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AI-based free-text image ordering may save federal CDS mandate from overburdening providers

Clinicians opted to use the AI tool nearly 60% of the time compared to directly searching for structured exam indications in 41% of cases.

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AI improves radiologists’ skeletal-age assessment accuracy while reducing interpretation times

Such exams are crucial for determining children’s developmental status but can be time consuming and tedious for physicians, experts wrote in Radiology. 

Facial recognition AI measures success of browlifts

Machine learning can deliver an objective appraisal of cosmetic surgery’s success at making aging faces appear younger and happier, according to Mayo Clinic researchers.

Diabetes AI adjustable for surveilling other public health concerns

Researchers have used machine learning to track diabetes at the population level.

‘Smart’ EHR taps AI to guide not just info retrieval but also treatment planning

AI developers have worked with experts in human-computer interaction to design an EHR that shows clinicians all information pertinent to the patient case they’re working on—and only that info.

AI hurts population health status when it’s used to longitudinally hook people on porn

The rate of harms to the mental and physical health of individuals who frequently use pornography is accelerating, and AI is playing a key role in driving porn addiction as well as “escalation to more violent material.”

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AI model classifies patients by aortic stenosis severity, could improve AVR timing

The classifier was developed using imaging data from nearly 2,000 patients. 

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